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Natural Language Processing Jobs in Silver Spring, MD

Pae

Healthcare (HC) Data Analyst

Bethesda, MD

Leads structuring data, natural language processing, database technologies, and machine learning algorithms. * Ability to translate complex, technical, or analytic findings into an easily understood ...

Amentum

Healthcare (HC) Data Analyst

Bethesda, MD · On-site

Leads structuring data, natural language processing, database technologies, and machine learning algorithms. * Ability to translate complex, technical, or analytic findings into an easily understood ...

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Natural Language Processing information

See Silver Spring, MD salary details

$14

$26

$49

How much do natural language processing jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for natural language processing in Silver Spring, MD is $26.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $30.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in natural language processing?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a natural language processing?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

Is natural language processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers strong job prospects, competitive salaries, and opportunities to work with machine learning, data analysis, and programming languages like Python. Success in NLP careers often requires a background in computer science, linguistics, or related fields, along with skills in data handling and model development.

What can I do with Natural Language Processing?

A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and information extraction, often using tools like Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

What job categories do people searching Natural Language Processing jobs in Silver Spring, MD look for?

The top searched job categories for Natural Language Processing jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Natural Language Processing jobs?

Cities near Silver Spring, MD with the most Natural Language Processing job openings:

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 1% Temporary, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $54,776 per year, or $26.3 per hour.

Senior Data Scientist

Kendrit Consulting Group

Baltimore, MD • On-site

$70 - $80/hr

Full-time

Re-posted 10 days ago

Job description

Seeking a Senior Data Scientist (NLP) to join our team in Woodlawn, MD supporting a large federal agency. This role requires deep expertise in Natural Language Processing (NLP) and Generative AI. In this role, you will bridge the gap between complex algorithmic research and scalable production systems. You will not only build sophisticated language models but also act as a technical leader, translating intricate data insights into strategic business decisions and collaborating closely with cross-functional teams.
*This is a permanent role expected to be onsite 5 days a week.
Primary Responsibilities:
· Apply expertise in Python, NLP frameworks, SQL, Pandas, NLTK, SPACy and LLMs.
· Query and analyze complex transactional data using SQL.
· Understand real world challenges and develop automated data solutions.
· Develop, test, and deploy new techniques for NLP understanding.
· Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models).
· Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.
· Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem.
· Collaborate with data collectors and analysts to identify and close gaps in complex monitoring problems.
· Provide accurate, timely, complex, and sophisticated data analysis.
· Train and optimize NLP/LLM models and create Python based pipelines.
· Build cloud native solutions on AWS.
Minimum Qualifications:
· Ability to obtain and maintain a Public Trust clearance is required.
· Master's with 10+ years, Bachelor's 12+ years, or 18+ years of relevant experience.
· Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science and industry experience in Python, SQL, NLP (spaCy/NLTK), and LLM engineering.
· Experience with Generative AI and Large Language Models (LLMs)
· Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.
· Expertise with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
· Fluent in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks
· Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), and AWS EC2.
· Experience with scalable data frameworks (Apache Spark) and workflow orchestration tools (Apache Airflow).
· Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.
· Proficient in extracting and manipulating data from diverse sources, including SQL databases (DB2, Oracle, SQL Server), Hadoop, and flat files.
· Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.).
· Experience with NLP and Generative AI libraries (e.g., spaCy, LangChain), text annotation, and semantic frameworks.
· Excellent problem-solving skills, ability to collaborate with cross-functional teams and proven communication in written and verbal formats to various audiences to include executive leadership.
· Excellent analytical skills to identify potential risks and propose effective solutions.
· Ability to clean and process large amounts of real-world data.
Desired Qualifications:
· Prior experience delivering IT projects within federal or state government sectors is highly preferred.
· Experience with or a willingness to learn distributed processing via the Hadoop ecosystem (Spark, Impala, Hive).
· Experience in parallel processing such as GPU programming with CUDA.
· Experience with Natural Language Processing for anomaly detection.
· Experience using markup languages such as LaTeX, HTML, etc.
· Experience with Mathematica.